Using multiple contoursets to represent structures in 3D images

被引:0
|
作者
Wang, Hongwu [1 ]
West, Jay B. [1 ]
Dooley, John R. [1 ]
Wang, Bai [1 ]
Chang, I-Ning [1 ]
Sheng, Ye [1 ]
机构
[1] Accuray Inc, Sunnyvale, CA 94089 USA
来源
PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING | 2007年
关键词
volume of interest(VOI); segmentation; Boolean operation; interpolation; contour; CyberKnife (R);
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a unique framework for representing volumes of interest (VOI) within 3D images. The framework contains a four-tier VOI tree structure, and three Boolean operations defined on top of the structures. The new framework allows complex geometries to be represented, while permitting unambiguous interpolation to be performed between image slices without the necessity. for manual component labeling. This framework has been used in the context of treatment planning for the CyberKnife (R) radiosurgery system, allowing anatomical structures and dose constraints to be easily and intuitively created.
引用
收藏
页码:448 / 453
页数:6
相关论文
共 50 条
  • [21] FAST 3D TRACKING AND QUANTIZATION OF SMALL VASCULAR STRUCTURES IN 3D MEDICAL IMAGES
    Afifi, Yusuf I.
    Khalil, Mahmoud I.
    Abbas, Hazem M.
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 877 - 881
  • [22] Skeletonization of 3D Images using 2.5D and 3D Algorithms
    Khan, Mohd. Sherfuddin
    Mankar, Vijay H.
    Prashanthi, G.
    Sathya, G.
    2015 1ST INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT), 2015, : 971 - 975
  • [23] Optimized 3D Mapping of a Large Area with Structures using Multiple Multirotors
    Darrah, Marjorie
    Trujillo, Marcela Mera
    Speransky, Kirill
    Wathen, Mitchell
    2017 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'17), 2017, : 716 - 722
  • [24] Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    Alexandrov, V
    Gerstein, M
    BMC BIOINFORMATICS, 2004, 5 (1)
  • [25] Multimodal 3D Facade Reconstruction Using 3D LiDAR and Images
    Xu, Haotian
    Chen, Chia-Yen
    Delmas, Patrice Jean
    Gee, Trevor Edwin
    van der Mark, Wannes
    IMAGE AND VIDEO TECHNOLOGY (PSIVT 2019), 2019, 11854 : 281 - 295
  • [26] Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    Vadim Alexandrov
    Mark Gerstein
    BMC Bioinformatics, 5
  • [27] Compression of 3D Integral Images Using 3D Wavelet Transform
    Aggoun, Amar
    JOURNAL OF DISPLAY TECHNOLOGY, 2011, 7 (11): : 586 - 592
  • [28] 3D Positioning Using Airborne Images
    Arik, Ali Can
    Bingol, Haluk Erdem
    Ocakli, Mehmet
    2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,
  • [29] Automated 3D Face Reconstruction from Multiple Images using Quality Measures
    Piotraschke, Marcel
    Blanz, Volker
    2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2016, : 3418 - 3427
  • [30] Pulmonary Fissure Detection in 3D CT Images Using a Multiple Section Model
    Xiao, Runing
    Zhou, Jinzhi
    ALGORITHMS, 2019, 12 (04)